CPT fine-tunes LLMs with DPO on rubric-guided synthetic preferences so that a system prompt can reconfigure output style at inference, with in-distribution accuracy gains over baselines.
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Configurable Preference Tuning with Rubric-Guided Synthetic Data
CPT fine-tunes LLMs with DPO on rubric-guided synthetic preferences so that a system prompt can reconfigure output style at inference, with in-distribution accuracy gains over baselines.